1. Drcdn: learning deep residual convolutional dehazing networks;Zhang;Visual Comput.,2020
2. Y. Pan, F. He, H. Yu, Learning social representations with deep autoencoder for recommender system, World Wide Web, 2020, pp. 1–21.
3. Nldn: Non-local dehazing network for dense haze removal;Zhang;Neurocomputing,2020
4. Anomaly detection of defects on concrete structures with the convolutional autoencoder;Chow;Adv. Eng. Inform.,2020
5. L. Bergamini, M. Sposato, M. Peruzzini, R. Vezzani, M. Pellicciari, Deep learning-based method for vision-guided robotic grasping of unknown objects, in: Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0: Proceedings of the 25th ISPE Inc., International Conference on Transdisciplinary Engineering, July 3–6, 2018, vol. 7, IOS Press, 2018, pp. 281.